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Maziwa Zaidi (More Milk) in Tanzania
Innovation platforms for information sharing, market access
and nurturing of smaller innovation platforms
Kennedy Kago (Egerton University), Jo Cadilhon (OECD), Mary Maina (Egerton University) and Amos Omore (ILRI
Key messages
 Innovation platforms enhance collaboration among different
stakeholders in agricultural value chains
 They influence production by aligning production strategies
with market demands and promote technologies that address
quantity and quality of dairy products
 Information sharing in innovation platforms has been found to
reduce information asymmetries between value chain actors
and improve overall efficiency of value chains
 It is important therefore to support the development and
growth of more regional level innovation platforms in Tanzania
Opportunities to invest and scale
 Create linkages between dairy cooperatives with ongoing dairy
initiatives and innovation platforms.
 Build virtual information-sharing platforms to reach a larger number of
actors in the Tanzania dairy value chain unable to attend DDF meetings
 Support formation of regional innovation platforms in key dairy-
producing regions across Tanzania to co-create solutions to bottlenecks
along the dairy value chain.
Key results
 Participation in DDF meetings was found to positively influence
dissemination of information by DDF to regional platforms and
dairy stakeholders.
 Motivation for participation in the DDF meetings was to
benefit from the information shared by the speakers and
between the attending dairy stakeholders.
 Structural hierarchy of associations e.g. TAMPA, TAMPRODA,
MVIWABO, and cooperative societies in Kilimanjaro and
Mbeya regions, were useful in aiding information
dissemination to far flung dairy actors
This document is licensed for use under the Creative Commons Attribution 4.0 International Licence. April 2017
March 2017
Objectives and approach
 Identify the relationships between factors that contribute to
the performance of an IP’s in reaching selected development
outcomes
 Refine and test a conceptual framework for monitoring and
evaluating innovation platforms.
 Understand how information sharing influences market access
and nurturing of regional innovation platforms.
Maziwa Zaidi thanks all donors and organizations which globally support the work of ILRI and its partners through
their contributions to the CGIAR system
Conduct Performance
IP ‘Structure’
•Membership composition
•Decision making
•Committees
•Source of funding
•Staff availability
Individual ‘structure’
•Type of chain actor
•Gender
•Level of education
•Indicator of wealth
External environ’t
•Legal and regulatory
framework
•Cultural norms
•Information sharing
•Communication
•Coordination
•Joint planning
•Trust
•Advocacy
•Capacity building
•Value chain
Development
•Nurturing regional
platforms
•Market access
• …
Structure
Conceptual framework to monitor and evaluate the DDF
(Adapted from Cadilhon (2013))
Study Areas
Individual interviews
88 Randomly sampled DDF
and Non-DDF respondents
across 10 regions that had
dairy value chain actors who
had participated in at least 1
DDF meeting.
Focus Group Discussions
3 focus groups at the begining
(Dar, Morogoro, and Tanga)
2 focus groups at the end (Mbeya
and Iringa)
Key informant interviews
10 key informant interviews with
key input suppliers, processors,
Development partners, and
Research organizations.
Data Collection

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Innovation platforms for information sharing, market access and nurturing of smaller innovation platforms

  • 1. Maziwa Zaidi (More Milk) in Tanzania Innovation platforms for information sharing, market access and nurturing of smaller innovation platforms Kennedy Kago (Egerton University), Jo Cadilhon (OECD), Mary Maina (Egerton University) and Amos Omore (ILRI Key messages  Innovation platforms enhance collaboration among different stakeholders in agricultural value chains  They influence production by aligning production strategies with market demands and promote technologies that address quantity and quality of dairy products  Information sharing in innovation platforms has been found to reduce information asymmetries between value chain actors and improve overall efficiency of value chains  It is important therefore to support the development and growth of more regional level innovation platforms in Tanzania Opportunities to invest and scale  Create linkages between dairy cooperatives with ongoing dairy initiatives and innovation platforms.  Build virtual information-sharing platforms to reach a larger number of actors in the Tanzania dairy value chain unable to attend DDF meetings  Support formation of regional innovation platforms in key dairy- producing regions across Tanzania to co-create solutions to bottlenecks along the dairy value chain. Key results  Participation in DDF meetings was found to positively influence dissemination of information by DDF to regional platforms and dairy stakeholders.  Motivation for participation in the DDF meetings was to benefit from the information shared by the speakers and between the attending dairy stakeholders.  Structural hierarchy of associations e.g. TAMPA, TAMPRODA, MVIWABO, and cooperative societies in Kilimanjaro and Mbeya regions, were useful in aiding information dissemination to far flung dairy actors This document is licensed for use under the Creative Commons Attribution 4.0 International Licence. April 2017 March 2017 Objectives and approach  Identify the relationships between factors that contribute to the performance of an IP’s in reaching selected development outcomes  Refine and test a conceptual framework for monitoring and evaluating innovation platforms.  Understand how information sharing influences market access and nurturing of regional innovation platforms. Maziwa Zaidi thanks all donors and organizations which globally support the work of ILRI and its partners through their contributions to the CGIAR system Conduct Performance IP ‘Structure’ •Membership composition •Decision making •Committees •Source of funding •Staff availability Individual ‘structure’ •Type of chain actor •Gender •Level of education •Indicator of wealth External environ’t •Legal and regulatory framework •Cultural norms •Information sharing •Communication •Coordination •Joint planning •Trust •Advocacy •Capacity building •Value chain Development •Nurturing regional platforms •Market access • … Structure Conceptual framework to monitor and evaluate the DDF (Adapted from Cadilhon (2013)) Study Areas Individual interviews 88 Randomly sampled DDF and Non-DDF respondents across 10 regions that had dairy value chain actors who had participated in at least 1 DDF meeting. Focus Group Discussions 3 focus groups at the begining (Dar, Morogoro, and Tanga) 2 focus groups at the end (Mbeya and Iringa) Key informant interviews 10 key informant interviews with key input suppliers, processors, Development partners, and Research organizations. Data Collection